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Tearle RG, Chen T, Brien FD. A 3-bp deletion in the SLC45A2 gene is associated with loss of fleece pigmentation in black-fleeced Suffolk sheep. Anim Genet 2025; 56:e13495. [PMID: 39608806 DOI: 10.1111/age.13495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 10/29/2024] [Accepted: 11/11/2024] [Indexed: 11/30/2024]
Abstract
Sheep have naturally pigmented wool which interferes with dyeing. Selection has been carried out over many years to remove pigment, with substantial success, but most wool still contains some pigment. As an alternative to selection, it has been proposed to take a naturally occurring mutation found in black Suffolk sheep, that blocks wool pigmentation, and introgress it into other breeds. However, the nature of the mutation has not been identified, prompting us to characterise it. The Suffolk white-fleece phenotype is associated with a novel 3-bp deletion in the gene SLC45A2, which encodes a membrane bound transporter that mediates melanin synthesis. The deletion results in the removal of one amino acid from the protein. The assignment of this deletion as the likely causative mutation is supported by it: being homozygous in the genome of nine animals with a white fleece and not homozygous in the genomes of eight animals with a black fleece; having a high level of conservation of the encoded amino acid sequence in the region surrounding the deleted amino acid across Mammalia; and the same deletion (but in a compound heterozygous state) being found in human SLC45A2 in a person with albinism.
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Affiliation(s)
- R G Tearle
- Davies Research Livestock Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
| | - T Chen
- Davies Research Livestock Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
| | - F D Brien
- Davies Research Livestock Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
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Addo S, Jung L. An insight into the runs of homozygosity distribution and breed differentiation in Mangalitsa pigs. Front Genet 2022; 13:909986. [DOI: 10.3389/fgene.2022.909986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 09/30/2022] [Indexed: 11/13/2022] Open
Abstract
Mangalitsa pigs exhibit three distinct coat color patterns based on which they are described as Red, Blond, and Swallow-bellied. The current study investigated genome-wide diversity and selection signatures in the three breeds using fixation index, runs of homozygosity and population structure analyses. The analyses were originally based on quality-controlled data on 77 Mangalitsa animals from Germany, including 23 Blond, 30 Swallow-bellied and 24 Red Mangalitsa genotyped with a customized version of the ProcineSNP60 v2 Genotyping Bead Chip. Also, 20 Hungarian Mangalitsa genotypes were included as outgroup data for comparison. Estimates of observed heterozygosity were 0.27, 0.28, and 0.29, and inbreeding coefficients estimated based on runs of homozygosity were 24.11%, 20.82%, and 16.34% for Blond, Swallow-bellied and Red Mangalitsa, respectively. ROH islands were detected in all breeds, however, none of these were shared amongst them. The KIF16B gene previously reported to play a role in synaptic signaling was found in a ROH island (SSC17: 16–26) in Swallow-bellied Mangalitsa. The same gene was found to harbor a significantly differentiated SNP (MARC0032380) while contrasting either Blond or Red to Swallow-belied Mangalitsa. In the Red Mangalitsa, some ROH islands were associated with genes that play a role in meat quality traits, i.e., ABCA12, VIL1, PLSCR5, and USP37. Our population structure analysis highlighted a separation of the three breeds, but also showed the closest relatedness between Red and Blond Mangalitsa pigs. Findings of this study improve our understanding of the diversity in the three breeds of Mangalitsa pigs.
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Guan D, Martínez A, Luigi-Sierra MG, Delgado JV, Landi V, Castelló A, Fernández Álvarez J, Such X, Jordana J, Amills M. Detecting the footprint of selection on the genomes of Murciano-Granadina goats. Anim Genet 2021; 52:683-693. [PMID: 34196982 DOI: 10.1111/age.13113] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2021] [Indexed: 01/14/2023]
Abstract
Artificial selection is one of the major forces modifying the genetic composition of livestock populations. Identifying genes under selection could be useful to elucidate their impact on phenotypic variation. We aimed to identify genomic regions targeted by selection for dairy and pigmentation traits in Murciano-Granadina goats. Performance of a selection scan based on the integrated haplotype score test in a population of 1183 Murciano-Granadina goats resulted in the identification of 77 candidate genomic regions/SNPs. The most significant selective sweeps mapped to chromosomes 1 (69.86 Mb), 4 (41.80-49.95 Mb), 11 (65.74 Mb), 12 (31.24 and 52.51 Mb), 17 (34.76-37.67 Mb), 22 (31.75 Mb), and 26 (26.69-31.05 Mb). By using previously generated RNA-Seq data, we built a catalogue of 6414 genes that are differentially expressed across goat lactation (i.e. 78 days post-partum, early lactation; 216 days post-partum, late lactation; 285 days post-partum, dry period). Interestingly, 183 of these genes mapped to selective sweeps and several of them display functions related with lipid, protein, and carbohydrate metabolism, insulin signaling, cell proliferation, as well as mammary development and involution. Of particular interest are the CSN3 and CSN1S2 genes, which encode two major milk proteins. Additionally, we found three pigmentation genes (GLI3, MC1R, and MITF) co-localizing with selective sweeps. Performance of a genome-wide association study and Sanger sequencing and TaqMan genotyping experiments revealed that the c.801C>G (p.Cys267Trp) polymorphism in the melanocortin 1 receptor (MC1R) gene is the main determinant of the black (GG or GC genotypes) and brown (CC genotypes) colorations of Murciano-Granadina goats.
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Affiliation(s)
- D Guan
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - A Martínez
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain
| | - M G Luigi-Sierra
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - J V Delgado
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain
| | - V Landi
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain.,Department of Veterinary Medicine, University of Bari "Aldo Moro", SP. 62 per Casamassima km. 3, Valenzano, 70010, Italy
| | - A Castelló
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - J Fernández Álvarez
- Asociación Nacional de Criadores de Caprino de Raza Murciano-Granadina (CAPRIGRAN), Fuente Vaqueros, Granada, 18340, Spain
| | - X Such
- Group of Research in Ruminants (G2R), Department of Animal and Food Science, Universitat Autònoma de Barcelona (UAB), Bellaterra, 08193, Spain
| | - J Jordana
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - M Amills
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
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